Unknown

Dataset Information

0

Integrated systems analysis reveals conserved gene networks underlying response to spinal cord injury.


ABSTRACT: Spinal cord injury (SCI) is a devastating neurological condition for which there are currently no effective treatment options to restore function. A major obstacle to the development of new therapies is our fragmentary understanding of the coordinated pathophysiological processes triggered by damage to the human spinal cord. Here, we describe a systems biology approach to integrate decades of small-scale experiments with unbiased, genome-wide gene expression from the human spinal cord, revealing a gene regulatory network signature of the pathophysiological response to SCI. Our integrative analyses converge on an evolutionarily conserved gene subnetwork enriched for genes associated with the response to SCI by small-scale experiments, and whose expression is upregulated in a severity-dependent manner following injury and downregulated in functional recovery. We validate the severity-dependent upregulation of this subnetwork in rodents in primary transcriptomic and proteomic studies. Our analysis provides systems-level view of the coordinated molecular processes activated in response to SCI.

SUBMITTER: Squair JW 

PROVIDER: S-EPMC6173583 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

altmetric image

Publications

Integrated systems analysis reveals conserved gene networks underlying response to spinal cord injury.

Squair Jordan W JW   Tigchelaar Seth S   Moon Kyung-Mee KM   Liu Jie J   Tetzlaff Wolfram W   Kwon Brian K BK   Krassioukov Andrei V AV   West Christopher R CR   Foster Leonard J LJ   Skinnider Michael A MA  

eLife 20181002


Spinal cord injury (SCI) is a devastating neurological condition for which there are currently no effective treatment options to restore function. A major obstacle to the development of new therapies is our fragmentary understanding of the coordinated pathophysiological processes triggered by damage to the human spinal cord. Here, we describe a systems biology approach to integrate decades of small-scale experiments with unbiased, genome-wide gene expression from the human spinal cord, revealing  ...[more]

Similar Datasets

2018-09-25 | PXD010192 | Pride
2018-10-02 | GSE115067 | GEO
| PRJNA473643 | ENA
2016-05-10 | PXD003473 | Pride
| S-EPMC7905359 | biostudies-literature
| PRJNA532533 | ENA
| S-EPMC4937511 | biostudies-literature
| S-EPMC8288099 | biostudies-literature
| S-EPMC4629389 | biostudies-literature
| S-EPMC2475541 | biostudies-literature